Simultaneous analysis of Lasso and Dantzig selector

7 January 2008

Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

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Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction Jue Hou Zijian Guo Tianxi Cai 11 14 0 04 May 2021
Directional FDR Control for Sub-Gaussian Sparse GLMs Chang Cui Jinzhu Jia Yijun Xiao Huiming Zhang 13 4 0 02 May 2021
Automatic Debiased Machine Learning via Riesz Regression Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis OOD CML 15 4 0 30 Apr 2021
A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization Hongcheng Liu Yu Yang 17 1 0 22 Apr 2021
Automatic Double Machine Learning for Continuous Treatment Effects Sylvia Klosin 36 8 0 21 Apr 2021
Least Squares with Error in Variables David A. Hirshberg 19 7 0 18 Apr 2021
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings Kan Xu Xuanyi Zhao Hamsa Bastani Osbert Bastani 25 6 0 18 Apr 2021
Pure Exploration with Structured Preference Feedback Shubham Gupta Aadirupa Saha S. Katariya 30 0 0 12 Apr 2021
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes Ruipeng Dong Daoji Li Zemin Zheng 49 3 0 11 Apr 2021
A New Perspective on Debiasing Linear Regressions Yufei Yi Matey Neykov 27 2 0 08 Apr 2021
Modelling Heterogeneity Using Bayesian Structured Sparsity Max Goplerud CML 13 3 0 29 Mar 2021
Comments on Leo Breiman's paper 'Statistical Modeling: The Two Cultures' (Statistical Science, 2001, 16(3), 199-231) Jelena Bradic Yinchu Zhu 17 0 0 21 Mar 2021
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis Xiaowu Dai Lexin Li 11 10 0 12 Mar 2021
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding Jie Zhang Qunxi Dong Jie Shi Qingyang Li C. Stonnington ... E. Reiman R. Caselli P. Thompson Jieping Ye Y. Wang 40 2 0 21 Feb 2021
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Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms Alicia Curth M. Schaar CML 22 138 0 26 Jan 2021
High-dimensional inference robust to outliers with l1-norm penalization Jad Beyhum 24 1 0 28 Dec 2020
Adversarially Robust Estimate and Risk Analysis in Linear Regression Yue Xing Ruizhi Zhang Guang Cheng AAML 20 27 0 18 Dec 2020
Long-term prediction intervals with many covariates Sayar Karmakar M. Chudý Wei Biao Wu AI4TS 21 9 0 15 Dec 2020
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 19 9 0 12 Dec 2020
Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi Ruoyu Wang Zhi-Ming Ma 6 2 0 04 Dec 2020
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Adaptive Estimation In High-Dimensional Additive Models With Multi-Resolution Group Lasso Yi-Bo Yao Cun-Hui Zhang 33 0 0 13 Nov 2020
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High-Dimensional Sparse Linear Bandits Botao Hao Tor Lattimore Mengdi Wang 6 59 0 08 Nov 2020
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Online Sparse Reinforcement Learning Botao Hao Tor Lattimore Csaba Szepesvári Mengdi Wang OffRL 6 28 0 08 Nov 2020
Design of $c$ -Optimal Experiments for High dimensional Linear Models Hamid Eftekhari Moulinath Banerjee Yaácov Ritov 21 2 0 23 Oct 2020
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control Sai Li T. Tony Cai Hongzhe Li 16 52 0 21 Oct 2020
Conformal prediction for time series Chen Xu Yao Xie AI4TS 45 32 0 18 Oct 2020
Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice Andrii Babii Xi Chen Eric Ghysels Rohit Kumar FaML 16 10 0 16 Oct 2020
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Robust Finite Mixture Regression for Heterogeneous Targets Jian Liang Kun Chen Ming Lin Changshui Zhang Fei Wang 27 10 0 12 Oct 2020
Deviation bound for non-causal machine learning Rémy Garnier Raphael Langhendries CML 6 1 0 18 Sep 2020
Inference for high-dimensional exchangeable arrays Harold D. Chiang Kengo Kato Yuya Sasaki 32 12 0 10 Sep 2020
Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective Fengshuo Zhang Chao Gao 9 2 0 08 Sep 2020
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data Y. Ning Sida Peng Jing Tao 11 5 0 07 Sep 2020
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection Yining Wang Yi Chen Ethan X. Fang Zhaoran Wang Runze Li 4 16 0 04 Sep 2020
Bayesian High-dimensional Semi-parametric Inference beyond sub-Gaussian Errors Kyoungjae Lee Minwoo Chae Lizhen Lin 21 1 0 30 Aug 2020
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On the Generalization Properties of Adversarial Training Yue Xing Qifan Song Guang Cheng AAML 25 32 0 15 Aug 2020
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A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem Zhiyuan Liu Huazheng Wang Bo Waggoner Youjian Yi Liu Lijun Chen 8 0 0 16 Jul 2020